What this category's data looks like
Daily documents for this category include bath solution analysis records, process parameter cards, fixture records, film thickness and adhesion reports, hazardous waste ledgers, and wastewater monitoring records. Data sources include customer surface treatment specifications, bath solution test results, rectifier operation data, online water quality monitoring records, and hazardous waste management ledgers. Update frequencies cover per bath cycle, per shift, and per fixed monitoring requirements. Most documents use tabular or title-paragraph structures, with fields including bath solution component concentration, process temperature and current, film thickness values, discharge indicators, and more. Units include g/L, ℃, A, μm, mg/L, and others.
What constraints do these characteristics impose on the "document parsing and chunking" link
Documents in this category combine tables, time-series parameter records, and compliance ledgers, with frequent updates, creating multiple constraints for document parsing and chunking. Multi-structure documents require dual logic for table extraction and text segmentation, to avoid splitting that breaks the associated integrity of key parameters such as bath solution concentration and film thickness. Single documents updated frequently have small individual size but high batch volume, so parsing timeout thresholds must be controlled to prevent backlogs of batch tasks. Compliance requirements for hazardous waste and wastewater monitoring records require retaining the binding relationship between indicators and their corresponding monitoring time after parsing. Time-series data must have chunk boundaries divided by bath cycle or shift, to avoid parameter confusion across batches.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chunkSize | 800–1200 characters | Matches the length of long parameter records and table fragments in documents of this category, to avoid splitting critical indicator groups |
chunkSplitter | Split by paragraph + title | Aligns with the title-content structure of process cards and monitoring records, preserving field context |
customPdfParse | Enable MinerU enhanced parsing | Improves structured extraction accuracy for PDF documents with multiple tables and embedded parameters |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Adapts to parsing time of batch small documents, to avoid timeout failures for high-frequency tasks |
chunkSettingMode | Manual configuration | Adjust chunking rules for different document types (bath solution records / hazardous waste ledgers) to fit business scenarios |
Three Common Mistakes
- Symptom: After uploading a process card PDF with embedded images, the parameter fields associated with the images are empty in the parsed result. Cause: The
customPdfParseconfiguration is not enabled, and basic PDF parsing cannot extract text and numerical information attached to embedded images. - Symptom: After deploying FastGPT locally and enabling the enhanced PDF parsing function, parsing tasks show timeout or failure. Cause: Port mapping between FastGPT and the locally Docker-deployed MinerU API is not configured correctly, or the request format does not meet MinerU's interface requirements.
- Symptom: After enabling multi-vector support, parsed chunks of table documents remain as a single whole, and cannot split key indicators by row. Cause: The
chunkSplitterrule is not adjusted separately for table documents, or the chunking settings do not cover the splitting logic for table structures.
How to Confirm Proper Configuration
- Upload a typical bath solution analysis record PDF, and check if all fields and corresponding values are fully extracted in the parsed table.
- Go to the knowledge base settings page of FastGPT v4.17.0, confirm that the
customPdfParseoption is enabled, and the MinerU API address is configured correctly. - Submit a batch test task, check the completion rate of parsing tasks, and adjust
PARSE_FILE_TIMEOUT_SECONDSto fit the scope of business batch processing. - For hazardous waste ledger documents, verify that parsed chunks are divided by monitoring time or batch, to ensure that compliance indicators are not split across chunks.
The values provided are common starting points and should be measured against the reader's own samples.